The present study was conducted to isolate and characterize
E. coli from faecal samples collected from dead diarrhoeic goats in Eastern plain zone of Uttar Pradesh. A total of 88 samples were examined for prevalence of
E. coli that were collected from eight districts of Eastern plain zone of Uttar Pradesh.
Isolation and Cultural Identification of E. coli
For isolation of
E. coli, all 88 faecal samples were initially screened on MLA plates. Colonies with rose pink colouration were suspected as
E. coli, (Fig 1). Lactose fermenting pink coloured colonies were selected for identification. A single rose pink colony was picked up and streaked on EMB plate. Colonies with greenish metallic sheen (Fig 2) on EMB agar plates were tentatively considered to be of
E. coli. Fifty-eight (58) isolates of
E. coli were obtained out of total 88 faecal samples were presumptively positive, which were further characterized on the basis of Gram’s staining, standard biochemical tests and molecular detection by PCR analysis using specific oligonucleotide primers.
Biochemical and molecular characterization of E. coli isolates
The isolates which showed cultural characteristics similar to
E. coli were further confirmed by Gram’s staining, standard biochemical tests (Table 1). Gram negative isolates (Fig 3) showing IMViC pattern (+ + - -) (Fig 4), catalase (+ve) (Fig 5), urease test (-ve) (Fig. 6), and fermented glucose, lactose, mannitol, sucrose and sorbitol by production of acid and gas (Fig 7) were taken as final presumptive
E. coli isolates. Out of 88 isolates, 49 were considered as final presumptive
E. coli after biochemical analysis (Table 1). Analysis for 16S rRNA on PCR revealed 46 isolates as confirmed
E. coli (Table 2) (Fig 8).
Sequencing of PCR amplicons and data analysis were carried out by Cytogene Laboratory, Lucknow. The obtained forward and reverse sequences were aligned using online pairwise alignment tool BioEdit. The query sequences were identified considering
E value as <1 × 10
-5 and maximum hits (99 or 100%) with a species in the reference database NCBI and query sequences was identified as
Escherichia coli strain U 5/41 16S ribosomal RNA as it showed highest similarity of 98.96 % with accession no. NR_024570.1 (Phylogenetic tree is attached in Fig 9 and Fig 10).
Overall and district-wise prevalence of E. coli isolates
Overall prevalence of presumptive positive isolates was 55.68% (49) in 88 faecal samples obtained from dead diarrhoeic goats while on PCR analysis, prevalence was 52.27 % (46/88) (Table 2). The prevalence of presumptive
E. coli was highest in Ayodhya District (68.75%) and lowest in Ambedkar Nagar district (40%). The occurrence of confirmed positive isolates on PCR analysis was highest in Varanasi district (63.63%) while lowest was reported in Ghazipur district (36.36%) (Table 2). The overall prevalence of presumptive
E. coli positivity corroborated with the findings of
Wani et al., (2004) who reported 58.83%
E. coli isolates in lambs in Kashmir Valley but the results was inconsistent with the findings of
Sharma et al., (2020) who found only 17.46% (22/126) prevalence in goat kids in Udaipur, Rajasthan. The present findings were also inconsistent with reports of
Hardik et al., (2017) and
Younis et al., (2009) who reported very high prevalence of
E. coli isolates as 72.81% (75/103) in Junagarh, Gujarat and 87.72% (193/220) in Egypt, respectively.
Age-wise, Sex-wise and Seasonal prevalence
The prevalence of presumptive
E. coli isolates was highest in Age Group I (86.20%) followed by Age Group II (44.11%) and Age Group III (36.00%) (Table 3). On PCR analysis, order of prevalence was same but percentage was changed in Age Group I and Age Group II as 79.31% and 41.17% respectively (Table 3). Since no earlier study conducted in this zone with respect to age group, the results of present study was compared to earlier study of
Sharma et al., (2020) who reported similar findings as higher prevalence in age group (0-1month) as 45.45% followed by 1-2 months (31.81%) and 2-3 months (22.72%) in Udaipur, Rajasthan and
Shabana et al., (2017) whose results were corroborating with the present findings as they also reported higher prevalence of ETEC in younger age group (17.90%) than adult (7.70%) in goats in Medina, Saudi Arabia. The higher prevalence in goat kids is attributed to less intake of colostrum, immature immune system and lack of specific antibodies.
The occurrence of presumptive
E. coli isolates was higher in female (61.53) when compared to male (47.22%) goats (Table 3). The prevalence of confirmed
E. coli isolates by PCR analysis also revealed higher positivity in female (57.69%) than male (44.44%). The present results corroborated with the reports of
Sharma et al., (2020) who reported higher prevalence in female (63.64%) than male (36.36%) goats in Udaipur district of Rajasthan. Higher occurrence in females might be due to reduced immune system, breeding stress and lactation period which exposes them to micro-organisms invasion. The present study contradicted with report of
Shabana et al., (2017) who reported higher prevalence in male goats and was difference of 50% positivity in male (20.50%) and female animals (10.30%) in Medina Saudi Arabia.
The prevalence of presumptive
E. coli isolates was highest in summer (82.75%) followed by rainy (45.45%) and lowest in winter (38.46%) season (Table 3). On PCR analysis, pattern of order of prevalence was same of confirmed
E. coli isolates as 75.86% and 42.42% in summer and rainy season, respectively (Table 3). The results of this study simulated the reports of
Pralhad et al., (2018) who also reported higher positivity in summer when compared to winter and rainy season. This is might be due to fact that warmer weather provides favourable conditions for
E. coli growth or animal movement in summer between pasture and housing, diet change may lead to stress in animal
(Pralhad et al., 2018).